It’s precisely at the peak of the hype when corporations need to evaluate emerging technologies and commit to the necessary transformations to lead, create and/or maintain a competitive edge.

43% of the ML/AI startups acquired by corporations last year were VC backed.

The AI/ML Venture Capital - VC industry, engine and source of funding for emerging industries, serves as a perfect proxy to understand these trends, de-noise the hype and spot the right timing for practical decision making.

In this educational 3x workshop (condensed in 1,5 days, remote - online or on premise) we will navigate through the enterprise AI/ML startup landscape as well as the M&A and VC activity to end up with practical recommendations and a frictionless 3x steps process for corporations to adopt Machine Learning at scale, as an enabler for future AI applications.

The 3x workshop, a 3 steps on-boarding process to apply machine learning in the enterprise, provides C-level & business execs with a top-level understanding of the business applications & implications down to practical advice to get your company hands on with applied machine learning & AI.

Content Topics in summary:

1. The state of the Machine Learning & Artificial Intelligence from a Venture Capital perspective: understanding the maturity of this industry and its trends.

2. The Enterprise M&A landscape by the numbers: a proxy to benchmark where corporations are in their ML & AI journey.

5.What’s next? A few simple steps to get your company and your team started with Machine Learning today (and AI in future), in hours (not months and this is a promise). Weaponizing your business with applied Machine Learning.

Objectives - 3x workshop:

1x - Get an overview of the actual state of machine learning & AI for the enterprise and its trends.

2x - Gain insights by analyzing VC and M&A activity in the space: de-noising the hype, benchmarking in your industry.

3x - Understand why Machine Learning & AI is happening now and what to do about it: takeouts from practical ML examples and learnings on how to get on board with Machine Learning for your business and key executives.

Moving Machine Learning to implementation

4. Practical Implementation of Machine Learning & AI in the Company

After going through this 3 steps education workshop, below are the tentative outcomes for practical implementation in the enterprise, depending on data & machine learning maturity as well as go to market timing:

A - Training & Capabilities enablement - Getting key people in the know

Enabling predictive & machine learning based business models for key partners & customers of the company, leveraging proprietary data throughout the ecosystem.

Platform approach using an API model for data & ML services access.

E - Corporate Venture Capital - The 'shortcut' to market

If reviewing the internal corporate strategy renders machine learning & AI as the key priority for products/services and go to market in the short term a venturing track comprising Corp VC (investment and/or acquihire), straight M&A or other strategic partnerships & JV models will be the solution.

Leveraging our presence in Silicon Valley, our team can support all these initiatives at different stages.